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Arkistoitu opetusohjelma 2016–2017
Selaat vanhentunutta opetusohjelmaa. Voimassa olevan opetusohjelman löydät täältä.
BIO4721 Introduction to Pattern Recognition and Machine Learning 5 ECTS
Period I Period II Period III Period IV
Language of instruction
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Master's Degree Programme in Bioinformatics

Learning outcomes

After completing the course, the student can:
- describe the basic structure of pattern recognition systems and the statistical bases of the classification theory.
- distinguish supervised learning methods from the unsupervised ones. 
- apply supervised learning methods to the classifier design.

General description

The course can be completed by one of the following courses:

SGN-13006: http://www.tut.fi/wwwoppaat/opas2015-2016/perus/laitokset/Signaalinkasittely/SGN-13006.html

TIETS39: https://www10.uta.fi/opas/opintojakso.htm?rid=11458&idx=3&uiLang=fi&lang=en&lvv=2015

For more information on this course, see the TUT and UTA course descriptions above from 2015 (the new descriptions for 2016 will be updated as soon as possible).



Numeric 1-5.

Further information

This course can be completed by several options based on availability. Please see both TUT and UTA websites for information on this course.